CN116604699B - Intelligent superimposed sheet prefabricated system - Google Patents
Intelligent superimposed sheet prefabricated system Download PDFInfo
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- CN116604699B CN116604699B CN202310882933.7A CN202310882933A CN116604699B CN 116604699 B CN116604699 B CN 116604699B CN 202310882933 A CN202310882933 A CN 202310882933A CN 116604699 B CN116604699 B CN 116604699B
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- 238000004519 manufacturing process Methods 0.000 claims abstract description 68
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 51
- 239000010959 steel Substances 0.000 claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 44
- 238000012423 maintenance Methods 0.000 claims abstract description 17
- 238000013461 design Methods 0.000 claims abstract description 13
- 238000010276 construction Methods 0.000 claims abstract description 12
- 238000009417 prefabrication Methods 0.000 claims abstract description 10
- 239000004567 concrete Substances 0.000 claims description 51
- 238000006073 displacement reaction Methods 0.000 claims description 38
- 239000002131 composite material Substances 0.000 claims description 32
- 238000012806 monitoring device Methods 0.000 claims description 29
- 238000009434 installation Methods 0.000 claims description 17
- 239000002002 slurry Substances 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 11
- 238000010438 heat treatment Methods 0.000 claims description 9
- 238000003466 welding Methods 0.000 claims description 9
- 230000006378 damage Effects 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 8
- 239000000463 material Substances 0.000 claims description 6
- NJPPVKZQTLUDBO-UHFFFAOYSA-N novaluron Chemical compound C1=C(Cl)C(OC(F)(F)C(OC(F)(F)F)F)=CC=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F NJPPVKZQTLUDBO-UHFFFAOYSA-N 0.000 claims description 4
- 229910001294 Reinforcing steel Inorganic materials 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 3
- 238000005498 polishing Methods 0.000 claims description 3
- 230000000630 rising effect Effects 0.000 claims description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 17
- 238000013528 artificial neural network Methods 0.000 description 8
- 230000001276 controlling effect Effects 0.000 description 8
- 239000010410 layer Substances 0.000 description 7
- 238000004321 preservation Methods 0.000 description 3
- 230000003014 reinforcing effect Effects 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 230000002457 bidirectional effect Effects 0.000 description 2
- 238000005266 casting Methods 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 230000003139 buffering effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000011083 cement mortar Substances 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000005056 compaction Methods 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 1
- 239000011241 protective layer Substances 0.000 description 1
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- 230000001105 regulatory effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B23/00—Arrangements specially adapted for the production of shaped articles with elements wholly or partly embedded in the moulding material; Production of reinforced objects
- B28B23/02—Arrangements specially adapted for the production of shaped articles with elements wholly or partly embedded in the moulding material; Production of reinforced objects wherein the elements are reinforcing members
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B1/00—Producing shaped prefabricated articles from the material
- B28B1/04—Producing shaped prefabricated articles from the material by tamping or ramming
- B28B1/045—Producing shaped prefabricated articles from the material by tamping or ramming combined with vibrating or jolting
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B11/00—Apparatus or processes for treating or working the shaped or preshaped articles
- B28B11/24—Apparatus or processes for treating or working the shaped or preshaped articles for curing, setting or hardening
- B28B11/245—Curing concrete articles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B13/00—Feeding the unshaped material to moulds or apparatus for producing shaped articles; Discharging shaped articles from such moulds or apparatus
- B28B13/02—Feeding the unshaped material to moulds or apparatus for producing shaped articles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B28—WORKING CEMENT, CLAY, OR STONE
- B28B—SHAPING CLAY OR OTHER CERAMIC COMPOSITIONS; SHAPING SLAG; SHAPING MIXTURES CONTAINING CEMENTITIOUS MATERIAL, e.g. PLASTER
- B28B17/00—Details of, or accessories for, apparatus for shaping the material; Auxiliary measures taken in connection with such shaping
- B28B17/0063—Control arrangements
- B28B17/0081—Process control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Ceramic Engineering (AREA)
- Mechanical Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Structural Engineering (AREA)
- Automation & Control Theory (AREA)
- On-Site Construction Work That Accompanies The Preparation And Application Of Concrete (AREA)
Abstract
The invention provides an intelligent superimposed sheet prefabrication system, relates to the field of electric data processing, and comprises: the data acquisition module is used for acquiring construction requirement data of the superimposed sheet; the parameter determining module is used for determining laminated slab production parameters and laminated slab maintenance parameters based on construction requirement data of the laminated slab, wherein the laminated slab production parameters at least comprise a target laminated slab production line, the laminated slab production quantity and laminated slab structure parameters, and the laminated slab structure parameters at least comprise a target mould model, a bottom plate structure parameter, a square through steel pipe size and a connecting piece structure parameter; the laminated slab processing module is used for controlling a laminated slab production line to produce laminated slabs based on the laminated slab production parameters; and the laminated slab curing module is used for controlling laminated slab curing equipment to cure the laminated slab produced by the laminated slab production line based on the laminated slab curing parameters, and has the advantages of improving the laminated slab design efficiency and quality.
Description
Technical Field
The invention relates to the field of electric data processing, in particular to an intelligent superimposed sheet prefabricating system.
Background
A building assembled from prefabricated components at a worksite is referred to as an assembled building. Along with the continuous progress and development of modern industrialization, the fabricated building is popularized and applied.
At present, in the assembled building, the prefabricated laminated slab has various types, the utilization rate of the mould is low, the site construction is complex and disordered, the production requirements of the standard components related to industrial standardization are difficult to adapt, the design, manufacturing and installation efficiency is low, the manufacturing cost is high, and the building cost is directly influenced. In the prior art, deep design of the superimposed sheet is completed by a designer according to experience, the design quality is low, the design efficiency is low, and the building data is lacking, so that the intelligent building of the component is not facilitated.
Therefore, it is necessary to provide an intelligent laminated slab prefabricating system for automatically completing the design and generation of laminated slabs according to requirements, and improving the design efficiency and quality of the laminated slabs.
Disclosure of Invention
One of the embodiments of the present specification provides an intelligent superimposed sheet prefabrication system, the system includes: the data acquisition module is used for acquiring construction requirement data of the superimposed sheet; the parameter determining module is used for determining laminated slab production parameters and laminated slab maintenance parameters based on construction requirement data of the laminated slab, wherein the laminated slab production parameters at least comprise a target laminated slab production line, the laminated slab production quantity and laminated slab structure parameters, the laminated slab structure parameters at least comprise a target mould model, a bottom plate structure parameter, a square steel pipe size and a connecting piece structure parameter, and the connecting piece is used for connecting the bottom plate and the square steel pipe; the laminated plate processing module is used for controlling a laminated plate production line to produce laminated plates based on the laminated plate production parameters; and the laminated slab curing module is used for controlling laminated slab curing equipment to cure the laminated slab produced by the laminated slab production line based on the laminated slab curing parameters.
In some embodiments, the building demand data for the composite slab includes at least floor slab structural design requirements; the bottom plate structural parameters at least comprise bottom plate size, bottom plate main rib type, bottom plate main rib length, bottom plate main rib spacing, bottom plate connecting rib type, bottom plate connecting rib length, bottom plate connecting rib spacing and concrete material proportion; the connecting piece structural parameters at least comprise the types of the long bolts, the number of the long bolts, the installation positions of the long bolts, the types of the embedded sleeves, the number of the embedded sleeves, the installation positions of the embedded sleeves, the sizes of the diagonal trusses, the number of the diagonal trusses and the welding positions of the diagonal trusses.
In some embodiments, the parameter determination module is further to: determining production parameters of the laminated slab based on construction demand data of the laminated slab through a production parameter determination model; generating a three-dimensional model and a two-dimensional drawing of the laminated slab based on the production parameters of the laminated slab; transmitting the three-dimensional model and the two-dimensional drawing of the superimposed sheet to a management end; acquiring feedback of a three-dimensional model and a two-dimensional drawing of the superimposed sheet, wherein the feedback is sent by a management user through the management end; and adjusting the production parameters of the laminated plates based on the feedback.
In some embodiments, the superimposed sheet processing module includes a superimposed sheet processing controller, a mold pretreatment assembly, a rebar and embedment mounting assembly, and a concrete placement assembly; the mould pretreatment assembly, the steel bar and embedded part installation assembly and the concrete pouring assembly are electrically connected with the superimposed sheet processing controller; the laminated plate processing controller is used for controlling the die pretreatment component to obtain a target die and pretreat the target die based on the laminated plate production parameters, the pretreat comprises polishing and smearing a release agent, and the die pretreatment component is also used for installing the pretreated die on a pedestal; the superimposed sheet processing controller is used for controlling the steel bar and embedded part installation assembly to install the main steel bar and the connecting steel bar in the target die based on the production parameters of the superimposed sheet, welding long bolts on the connecting steel bar and welding inclined steel bar trusses on the connecting steel bar; and the superimposed sheet processing controller is used for controlling the concrete pouring assembly to pour concrete into the target mould and vibrating based on the superimposed sheet production parameters.
In some embodiments, the superimposed sheet processing module further comprises a point cloud acquisition component and an image acquisition component; the point cloud acquisition component is used for acquiring point cloud data of the target mould for multiple times in the process of pouring concrete to the target mould by the concrete pouring component; the image acquisition component is used for acquiring images of the target mould for multiple times in the process of pouring concrete to the target mould by the concrete pouring component.
In some embodiments, the superimposed sheet processing controller is further configured to determine a first displacement difference of the long bolt, a first displacement difference of the diagonal truss, a first deformation probability of the target mold, and a first slurry leakage probability of the target mold based on the point cloud data of the target mold acquired multiple times; the superimposed sheet processing controller is further used for determining a second displacement difference value of the long bolt, a second displacement difference value of the diagonal truss, a second deformation possibility of the target die and a second slurry leakage possibility of the target die based on the multiple acquired images of the target die; the superimposed sheet processing controller is further used for determining an embedded part moving risk value based on the first displacement difference value of the long bolt, the second displacement difference value of the long bolt, the first displacement difference value of the inclined rib truss and the second displacement difference value of the inclined rib truss; the superimposed sheet processing controller is further configured to determine a damage risk value for the target mold based on the first deformation probability of the target mold, the first slurry leakage probability of the target mold, the second deformation probability of the target mold, and the second slurry leakage probability of the target mold.
In some embodiments, the parameter determination module determines the composite maintenance parameter based on the building demand data for the composite, comprising: and determining a heating rate threshold value, a cooling rate threshold value and preset working parameters at a plurality of curing time points of the laminated slab curing equipment based on the size of the bottom plate and the proportion of the concrete materials through a curing parameter determination model, wherein the working parameters at least comprise curing temperature, curing humidity and internal pressure.
In some embodiments, the laminated slab curing module further comprises an equipment state monitoring assembly, wherein the equipment state monitoring assembly comprises at least a temperature monitoring device, a humidity monitoring device and a pressure monitoring device, wherein the temperature monitoring device is used for acquiring the temperature inside the laminated slab curing equipment, the humidity monitoring device is used for acquiring the humidity inside the laminated slab curing equipment, and the pressure monitoring device is used for acquiring the pressure inside the laminated slab curing equipment.
In some embodiments, the parameter determining module is further configured to adjust the preset working parameter at the plurality of curing time points based on a temperature inside the laminated slab curing device acquired by the temperature monitoring device at the plurality of historical curing time points, a humidity inside the laminated slab curing device acquired by the humidity monitoring device at the plurality of historical curing time points, a pressure inside the laminated slab curing device acquired by the pressure monitoring device at the plurality of historical curing time points, the temperature rising rate threshold value, and the temperature lowering rate threshold value.
In some embodiments, the laminated slab comprises a bottom plate, square-way steel pipes and connectors arranged between the bottom plate and the square-way steel pipes; the connecting piece comprises a plurality of embedded sleeves, a plurality of inclined rib trusses, a plurality of long bolts and a plurality of connecting bolts, wherein a part of the embedded sleeves is embedded in the bottom plate, the embedded sleeves are welded with the connecting ribs of the bottom plate, the long bolts penetrate through the square steel pipes and are in threaded connection with the embedded sleeves, both ends of the inclined rib trusses are welded on the main ribs of the bottom plate, and the inclined rib trusses are connected with the square steel pipes through the connecting bolts.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a block diagram of an intelligent superimposed sheet prefabrication system according to some embodiments of the present disclosure;
FIG. 2 is a schematic illustration of a process for determining production parameters of a composite sheet according to some embodiments of the present disclosure;
FIG. 3 is a schematic flow chart of monitoring concrete placement according to some embodiments of the present disclosure;
FIG. 4 is a schematic illustration of a process for determining a splice curing parameter according to some embodiments of the present disclosure;
fig. 5 is a schematic view of a structure of a laminated sheet according to some embodiments of the present specification.
510, a bottom plate; 520. square-through steel pipes; 530. embedding a sleeve; 540. oblique rib truss; 550. a long bolt; 560. a connecting bolt; 570. a main rib; 580. and (5) connecting ribs.
Description of the embodiments
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
FIG. 1 is a block diagram of an intelligent composite slab prefabrication system according to some embodiments of the present disclosure, as shown in FIG. 1, which may include a data acquisition module, a parameter determination module, a composite slab processing module, and a composite slab maintenance module.
The data acquisition module can be used for acquiring construction requirement data of the laminated slab.
In some embodiments, the building demand data for the composite slab includes at least floor slab structural design requirements. The floor slab structure design requirements at least comprise the strength requirement, the rigidity requirement, the thermal engineering requirement, the anti-leakage performance requirement, the fire-proof limit requirement, the combustion performance requirement, the overall stability requirement and the like of the floor slab structure.
The parameter determination module can be used for determining the production parameters of the laminated slab and the maintenance parameters of the laminated slab based on the construction requirement data of the laminated slab.
FIG. 5 is a schematic view of a composite sheet according to some embodiments of the present disclosure, as shown in FIG. 5, in some embodiments, the composite sheet includes a bottom plate 510, square steel pipes 520, and connectors provided between the bottom plate 510 and the square steel pipes 520; the connecting piece comprises a plurality of embedded sleeves 530, a plurality of inclined rib trusses 540, a plurality of long bolts 550 and a plurality of connecting bolts 560, wherein a part of the embedded sleeves 530 are embedded in the bottom plate 510, the embedded sleeves 530 are welded with connecting ribs 580 of the bottom plate 510, the long bolts 550 penetrate through square steel pipes 520 to be in threaded connection with the embedded sleeves 530, two ends of each inclined rib truss 540 are welded on main ribs 570 of the bottom plate 510, and each inclined rib truss 540 is connected with the square steel pipes 520 through the connecting bolts 560. The connection ribs 580 of the bottom plate 510 are arranged along the length direction of the bottom plate 510, the main ribs 570 of the bottom plate 510 are arranged along the width direction of the bottom plate 510, and the main ribs 570 of the bottom plate 510 and the connection ribs 580 of the bottom plate 510 are perpendicular to each other.
In some embodiments, the composite slab production parameters include at least a target composite slab production line, a composite slab production number, and a composite slab structure parameter, wherein the composite slab structure parameter includes at least a target mold model, a base plate structure parameter, a square steel pipe size, and a connector structure parameter, the connector is used to connect the base plate 510 and the square steel pipe 520, the base plate structure parameter includes at least a base plate size, a base plate main rib model, a base plate main rib length, a base plate main rib spacing, a base plate connecting rib model, a base plate connecting rib length, a base plate connecting rib spacing, and a concrete material ratio, and the connector structure parameter includes at least a model of the long bolts 550, a number of the long bolts 550, a mounting position of the long bolts 550, a model of the embedded sleeves, a number of the embedded sleeves, a mounting position of the embedded sleeves, a size of the diagonal trusses 540, a number of the diagonal trusses 540, and a welding position of the diagonal trusses 540.
FIG. 2 is a schematic flow chart of determining production parameters of a composite slab according to some embodiments of the present disclosure, as shown in FIG. 2, in some embodiments, the parameter determination module may determine the production parameters of the composite slab based on building demand data of the composite slab through a production parameter determination model, the input of the production parameter determination model may include the building demand data of the composite slab, and the output of the production parameter determination model may include the production parameters of the composite slab and the maintenance parameters of the composite slab. The production parameter determining model can be a machine learning model such as an Artificial Neural Network (ANN) model, a cyclic neural network (RNN) model, a long-short-time memory network (LSTM) model, a bidirectional cyclic neural network (BRNN) model and the like.
As shown in fig. 2, in some embodiments, in order to make the produced laminated slab more in line with actual needs, the parameter determining module may generate a three-dimensional model and a two-dimensional drawing of the laminated slab based on the laminated slab production parameters, where the three-dimensional model and the two-dimensional drawing of the laminated slab may include the laminated slab production parameters, and send the three-dimensional model and the two-dimensional drawing of the laminated slab to the management end, so as to obtain feedback of the three-dimensional model and the two-dimensional drawing of the laminated slab sent by the management user through the management end; and adjusting the production parameters of the laminated plates based on feedback.
For example, if the management end feedback does not need to adjust the production parameters of the laminated slab, the parameter determination module does not need to adjust the production parameters of the laminated slab; if the management end feeds back and needs to adjust the production parameters of the laminated plates, the parameter determining module adjusts the production parameters of the laminated plates according to the feedback information of the management end.
In some embodiments, after the parameter determining module adjusts the production parameters of the laminated slab according to the feedback information of the management end, a training sample can be generated according to the adjusted production parameters of the laminated slab, and the training sample is used for training the production parameter determining model, so that the production parameter determining model is continuously optimized, and the accuracy of subsequently determining the production parameters of the laminated slab is improved.
It can be understood that the three-dimensional model and the two-dimensional drawing of the laminated slab can be generated, so that a management user can intuitively recognize the produced laminated slab, and the management user can conveniently analyze whether the production parameters of the laminated slab and the maintenance parameters of the laminated slab need to be adjusted.
In some embodiments, the superimposed sheet processing module includes a superimposed sheet processing controller, a mold pretreatment assembly, a rebar and embedment mounting assembly, and a concrete casting assembly, wherein the mold pretreatment assembly, the rebar and embedment mounting assembly, and the concrete casting assembly are all electrically connected to the superimposed sheet processing controller.
The laminated plate processing controller is used for controlling the die pretreatment component to obtain a target die and pretreat the target die based on the laminated plate production parameters, the pretreat comprises polishing and smearing a release agent, and the die pretreatment component is also used for installing the pretreated die on the pedestal.
The laminated slab processing controller is used for controlling the steel bar and embedded part installation assembly to install the main steel bar 570 and the connecting steel bar 580 in the target die based on the laminated slab production parameters, welding the long bolts 550 on the connecting steel bar 580 and welding the inclined steel bar truss 540 on the connecting steel bar 580. Specifically, the steel bar installation should be consistent with the comb plate clearance, and the cushion blocks are placed, so that the steel bar spacing and the thickness of the protective layer are ensured, after the steel bar installation is completed, the long bolts 550, the embedded bolt sleeves, the inclined bar trusses 540 and the square steel tubes 520 are combined, and then the inclined bar trusses 540 and the sleeves at the two ends are installed and fixed. The reinforcing bars at two sides of the end part of the inclined bar truss 540 are welded to the prefabricated bottom plate main rib 570, and the embedded bolt sleeve is welded with the prefabricated bottom plate main rib 570 through connecting reinforcing bars.
The superimposed sheet processing controller is used for controlling the concrete pouring assembly to pour concrete into the target mould and vibrate based on the production parameters of the superimposed sheet. Concrete pouring is formed in one step in a horizontal pouring mode. The concrete pouring assembly is also used for finishing the napping treatment of the superposed surfaces before the initial setting of the concrete.
It will be appreciated that the pedestal is used for placing the pretreated mold, so that the installation, concrete pouring and vibration of the main rib 570 and the connecting rib 580 can be conveniently performed later, and the connecting rib 580, the main rib 570 and the embedded part (for example, the embedded sleeve) are installed in the mold, and the bottom plate of the laminated plate is formed with the connecting rib 580 and the main rib 570 after the concrete pouring in the mold.
In some embodiments, the superimposed sheet processing module further includes a point cloud acquisition component and an image acquisition component, the point cloud acquisition component is used for acquiring point cloud data of the target mold for a plurality of times in the process of pouring concrete to the target mold by the concrete pouring component, and the image acquisition component is used for acquiring images of the target mold for a plurality of times in the process of pouring concrete to the target mold by the concrete pouring component.
Fig. 3 is a schematic flow chart of monitoring concrete placement according to some embodiments of the present disclosure, as shown in fig. 3, in some embodiments, the superimposed sheet processing controller is further configured to determine, based on the point cloud data of the target mold acquired multiple times, a first displacement difference of the long bolt 550, a first displacement difference of the diagonal rib truss 540, a first deformation possibility of the target mold, and a first slurry leakage possibility of the target mold.
Specifically, for the point cloud data of the target mold obtained each time, the superimposed sheet processing controller may separate the point cloud data of the long bolt 550 and the point cloud data of the diagonal truss 540 from the point cloud data of the target mold, and determine the position information of the long bolt 550 and the position information of the diagonal truss 540, thereby determining a long bolt position sequence and a diagonal truss position sequence, where the long bolt position sequence is formed by arranging the position information of the long bolt 550 corresponding to the point cloud data of the target mold obtained multiple times according to the sequence of the obtained time, and the diagonal truss position sequence is formed by arranging the position information of the diagonal truss 540 corresponding to the point cloud data of the target mold obtained multiple times according to the sequence of the obtained time.
For the long bolt position sequence, a difference between the position information of any two long bolts 550 may be determined, and a maximum value of the difference between the position information of the two long bolts 550 may be taken as the first displacement difference. I.e. the first displacement difference value may be determined based on the following formula:
wherein,,is the first displacement difference of long bolt 550, < >>To take the maximum value operation>Position information of the long bolt 550 corresponding to point cloud data of the target mold acquired for the ith time,/for the long bolt>Long bolt 550 corresponding to point cloud data of the target mold acquired for the j-th timeThe value ranges of the position information i and j are 1, 2 … … n, and n is the number of times of the acquired point cloud data of the target die.
For the diagonal truss position sequence, a difference between the position information of any two diagonal trusses 540 may be determined, and a maximum value of the difference between the position information of the two diagonal trusses 540 may be taken as the first displacement difference. I.e. the first displacement difference value may be determined based on the following formula:
wherein,,is the first displacement difference of diagonal truss 540, +.>To take the maximum value operation>Position information of diagonal truss 540 corresponding to point cloud data of the ith acquired target mold, +.>And (5) the position information of the diagonal truss 540 corresponding to the point cloud data of the target die obtained for the j-th time.
Further, for the point cloud data of the target mold obtained each time, the superimposed sheet processing controller may first separate the point cloud data of the frame of the target mold from the point cloud data of the target mold, determine the shape of the frame of the target mold based on the point cloud data of the frame of the target mold, and generate a shape sequence of the frame of the target mold, where the shape sequence of the frame of the target mold is formed by arranging the shapes of the frames of the target mold corresponding to the point cloud data of the target mold obtained multiple times according to the sequence of the obtained times.
For the sequence of shapes of the rims of the target mold, a similarity between the shapes of the rims of any two target molds may be determined, and the first deformation possibility of the target mold may be determined based on a minimum value of the similarity between the shapes of the rims of the two target molds. I.e. the first deformation probability of the target mould may be determined based on the following formula:
wherein,,for the first deformation possibility of the target mould, < >>To take the minimum value operation, < >>The similarity between the shape of the frame of the target mold corresponding to the point cloud data of the target mold obtained for the ith time and the shape of the frame of the target mold corresponding to the point cloud data of the target mold obtained for the jth time is obtained, and k is a preset parameter.
Further, for each obtained point cloud data of the target mold, the superimposed sheet processing controller may first separate the point cloud data located outside the target mold from the point cloud data of the target mold, obtain the point cloud data of the concrete located outside the target mold, determine the volume of the leaked concrete based on the point cloud data of the concrete located outside the target mold, and use the maximum value of the volume of the leaked concrete as the first slurry leakage possibility of the target mold.
As shown in fig. 3, in some embodiments, the superimposed sheet processing controller is further configured to determine a second displacement value of the long bolt 550, a second displacement value of the diagonal truss 540, a second deformation probability of the target mold, and a second slip probability of the target mold based on the multiple acquired images of the target mold.
Specifically, the superimposed sheet processing controller may first divide the image of the long bolt 550, the image of the diagonal rib truss 540, the image of the target mold, and the image of the concrete outside the target mold from the image of the target mold obtained each time, sequentially determine the position of the long bolt 550, the position of the diagonal rib truss 540, the frame shape of the target mold, and the volume of the leaked concrete, and determine the second displacement difference value of the long bolt 550, the second displacement difference value of the diagonal rib truss 540, the second deformation possibility of the target mold, and the second leakage possibility of the target mold by referring to the above calculation formulas, which are not described herein again.
As shown in fig. 3, in some embodiments, the superimposed sheet processing controller is further configured to determine the embedment movement risk value based on the first displacement difference of the long bolts 550, the second displacement difference of the long bolts 550, the first displacement difference of the diagonal trusses 540, and the second displacement difference of the diagonal trusses 540.
Specifically, the moving risk value of the embedded part can be determined based on the first displacement difference value of the long bolt 550, the second displacement difference value of the long bolt 550, the first displacement difference value of the diagonal rib truss 540 and the second displacement difference value of the diagonal rib truss 540 according to the following formula:
wherein,,for the moving risk value of the embedded part, +.>Is->Are all preset weights, are->For the second displacement difference of long bolt 550, +.>Is the second displacement difference of the diagonal truss 540.
As shown in fig. 3, in some embodiments, the superimposed sheet processing controller is further configured to determine a damage risk value for the target mold based on the first deformation probability of the target mold, the first slurry leakage probability of the target mold, the second deformation probability of the target mold, and the second slurry leakage probability of the target mold.
Specifically, the damage risk value of the target mold may be determined based on the first deformation possibility of the target mold, the first slurry leakage possibility of the target mold, the second deformation possibility of the target mold, and the second slurry leakage possibility of the target mold according to the following formula:
wherein,,for the damage risk value of the target mould, +.>Is->Are all the weights of the preset weight, and the weight of the whole body is equal to the preset weight,for the first deformation possibility of the target mould, < >>For a second deformation possibility of the target mould,first leakage possibility of the target mould,/->A second leakage possibility for the target mold.
In some embodiments, when the moving risk value of the embedded part is greater than the preset moving risk threshold value of the embedded part and/or the damage risk value of the target mold is greater than the preset damage risk threshold value, the superimposed sheet processing controller may determine that production of the superimposed sheet is faulty, suspend production of the superimposed sheet, and notify a management user to perform maintenance.
FIG. 4 is a schematic flow chart of determining a composite maintenance parameter according to some embodiments of the present disclosure, as shown in FIG. 4, in some embodiments, the parameter determination module determines the composite maintenance parameter based on building demand data of the composite, including:
and determining a heating rate threshold value, a cooling rate threshold value and preset working parameters at a plurality of curing time points of the laminated slab curing equipment based on the size of the bottom plate and the proportion of concrete materials through a curing parameter determination model, wherein the working parameters at least comprise curing temperature, curing humidity and internal pressure, and the curing parameter determination model can be a machine learning model such as an Artificial Neural Network (ANN) model, a circulating neural network (RNN) model, a long and short time memory network (LSTM) model, a bidirectional circulating neural network (BRNN) model and the like.
In some embodiments, the laminated slab curing apparatus may include curing apparatus including a controller, an electromagnetic boiler, a steam generator, a softened water apparatus, a holding tank, a curing hood, a circulation pump, an electrically operated control valve, a hot water heating pipe, a steam pipe, an exhaust pipe; the water softening device is connected with the heat preservation water tank and supplements water for the heat preservation water tank; the softened water circulates in a closed way among the heat preservation water tank, the electromagnetic boiler, the circulating pump and the hot water heating pipeline; the water softening equipment is also connected with the steam generator to provide a softened water source for the steam generator, and the generated steam is sprayed out in the exhaust pipeline; the hot water heating pipeline is connected with the electromagnetic boiler, the steam pipeline is connected with the steam generator, and the hot water heating pipeline and the steam pipeline are arranged in the maintenance cover; the concrete precast slab is arranged in the maintenance cover and is positioned above the hot water heating pipeline. The protecting cover is a foldable structure, and can cover the concrete precast slab, the mould table, the hot water heating pipeline and the exhaust pipeline to form a relative closed space when in use. The controller can control the electromagnetic boiler, the steam generator, the circulating pump and the electric regulating valve to work according to the laminated slab curing parameters. In some embodiments, the laminated slab curing module further comprises an equipment state monitoring assembly, wherein the equipment state monitoring assembly comprises at least a temperature monitoring device, a humidity monitoring device and a pressure monitoring device, the temperature monitoring device is used for acquiring the temperature inside the laminated slab curing equipment, the humidity monitoring device is used for acquiring the humidity inside the laminated slab curing equipment, and the pressure monitoring device is used for acquiring the pressure inside the laminated slab curing equipment.
As shown in fig. 4, the parameter determining module is further configured to adjust the preset working parameters at the plurality of curing time points based on the temperature inside the laminated slab curing device acquired by the temperature monitoring device at the plurality of historical curing time points, the humidity inside the laminated slab curing device acquired by the humidity monitoring device at the plurality of historical curing time points, and the pressure inside the laminated slab curing device, the temperature rise rate threshold value and the temperature drop rate threshold value acquired by the pressure monitoring device at the plurality of historical curing time points.
Specifically, the parameter determining module may determine the parameter similarity between the pressure inside the laminated slab curing device acquired at the plurality of historical curing time points and the corresponding preset working parameter by the pressure monitoring device, and when the parameter similarity is within the similarity preset range, may adjust the preset working parameter at the next plurality of future time points according to the difference between the humidity inside the laminated slab curing device acquired at the plurality of historical curing time points and the pressure inside the laminated slab curing device acquired at the plurality of historical curing time points by the pressure monitoring device and the corresponding preset working parameter; when the parameter similarity is out of the similarity preset range, the fault of the maintenance of the laminated slab can be judged, the maintenance of the laminated slab is suspended, and a management user is informed to maintain the laminated slab maintenance equipment.
The superimposed sheet adopts the flatbed to transport to the job site, sets up buffering energy dissipation cushion in the loading process and prevents superimposed sheet fracture, deformation and destruction during transportation, should examine and accept before the hoist and mount after transporting to the job site.
The superimposed sheet hoist and mount adopt self-control balanced girder steel to assist to carry out, adopt four-point hoist and mount method to carry out superimposed sheet handling, the hoisting point symmetry sets up on square tube 520, and the rope on the rings requires isometric, should keep superimposed sheet horizontal placement during handling, ensures that the contained angle of four points is between 45 ~60 and atress is even. After the component is lifted stably by the lifting appliance, the lifting arm is rotated at a constant speed, after the component is close to the installation position, the position 20cm above the operation layer is slightly stopped, constructors hold the superimposed sheet to adjust the direction, the side line of the sheet is aligned with the line of the placement position of the beam column, the component is stopped stably and slowly when put down, and rapid and violent put down is forbidden, so that the problem that the sheet is broken by vibration due to overlarge impact force is avoided.
And (3) checking the deviation of the top elevation and the plane position of the laminated slab, and after the plane position of the laminated slab is adjusted according to the positioning control line, measuring the top elevation of the laminated slab by using a level gauge again to ensure the accurate installation of the laminated slab position.
And after the laminated slab is lifted and installed to the designed position, the reinforced bars are welded and fixed with the long sides of the adjacent slabs which are installed in place, so that the adjacent laminated slabs are prevented from moving relatively when the cast-in-situ layer concrete is poured. Because the laminated slab and the laminated slab are constructed by adopting a closely splicing method, the gap between the slab joints is very small, but the slurry leakage phenomenon is easy to occur at the slab joints when a concrete is poured, the flatness of the slab joints on the lower surface of the laminated slab is checked and finely adjusted, and the cement mortar is used for plugging at the slab joints on the upper surface after the flatness is qualified. In order to prevent the cracking of the joint of the superimposed sheet, the joint of the sheet is bound with the reinforcing rib before the binding of the post-cast layer reinforcing steel bars.
And paving a post-pouring layer reinforcing steel bar net after the site installation of the superimposed sheet is completed. Before laying, the reinforced bar positioning line mark is made on the laminated plate according to the design requirement, the reinforced bar on the long side of the reinforced bar net is vertically laid along the length direction of the laminated plate, and the reinforced bar protection layer cushion block is placed during laying. The short side of the superimposed sheet is placed on the steel beam, and connecting steel bars are arranged to connect and fix the superimposed sheet and the steel beam studs.
Before concrete pouring, the construction waste on the surface of the laminated slab is cleaned, water is properly sprayed to the upper part of the slab, so that the surface of the laminated slab is ensured to be sufficiently wet, and excessive water is not needed. Checking whether the joints of the plates and the beams are sealed in place or not, and avoiding slurry leakage. When pouring, the middle of the floor slab is poured to two sides, and as the thickness of the concrete of the post-pouring layer is thinner, the slab vibration leveling rod is used for vibrating, so that the compaction of concrete during vibrating is ensured.
And after the post-cast layer concrete reaches the design strength, removing and recycling the square steel pipe 520 at the upper part of the laminated slab by using an electric wrench. The square through steel pipes 520 are removed sequentially and symmetrically from the middle to the two sides, and the middle-most steel pipe is removed first and then removed sequentially and alternately from the two sides.
Finally, it should be understood that the embodiments in this specification are merely illustrative of the principles of the embodiments in this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.
Claims (6)
1. An intelligent superimposed sheet prefabrication system, characterized in that includes:
the data acquisition module is used for acquiring construction requirement data of the superimposed sheet;
the parameter determining module is used for determining laminated slab production parameters and laminated slab maintenance parameters based on construction requirement data of the laminated slab, wherein the laminated slab production parameters at least comprise a target laminated slab production line, the laminated slab production quantity and laminated slab structure parameters, the laminated slab structure parameters at least comprise a target mould model, a bottom plate structure parameter, a square steel pipe size and a connecting piece structure parameter, and the connecting piece is used for connecting the bottom plate and the square steel pipe;
the laminated plate processing module is used for controlling a laminated plate production line to produce laminated plates based on the laminated plate production parameters;
the laminated slab curing module is used for controlling laminated slab curing equipment to cure the laminated slab produced by the laminated slab production line based on the laminated slab curing parameters;
the building demand data of the laminated slab at least comprises the structural design requirement of a floor slab;
the bottom plate structural parameters at least comprise bottom plate size, bottom plate main rib type, bottom plate main rib length, bottom plate main rib spacing, bottom plate connecting rib type, bottom plate connecting rib length, bottom plate connecting rib spacing and concrete material proportion;
the connecting piece structure parameters at least comprise the types of long bolts, the number of the long bolts, the installation positions of the long bolts, the types of the embedded sleeves, the number of the embedded sleeves, the installation positions of the embedded sleeves, the sizes of the diagonal trusses, the number of the diagonal trusses and the welding positions of the diagonal trusses;
the parameter determination module is further configured to:
determining production parameters of the laminated slab based on construction demand data of the laminated slab through a production parameter determination model;
generating a three-dimensional model and a two-dimensional drawing of the laminated slab based on the production parameters of the laminated slab;
transmitting the three-dimensional model and the two-dimensional drawing of the superimposed sheet to a management end;
acquiring feedback of a three-dimensional model and a two-dimensional drawing of the superimposed sheet, wherein the feedback is sent by a management user through the management end;
adjusting the superimposed sheet production parameters based on the feedback;
the laminated slab comprises a bottom plate, square steel pipes and connecting pieces arranged on the bottom plate and the square steel pipes;
the connecting piece comprises a plurality of embedded sleeves, a plurality of inclined rib trusses, a plurality of long bolts and a plurality of connecting bolts, wherein a part of the embedded sleeves are embedded in the bottom plate, the embedded sleeves are welded with connecting ribs of the bottom plate, the long bolts penetrate through the square steel pipes to be in threaded connection with the embedded sleeves, two ends of each inclined rib truss are welded on a main rib of the bottom plate, and each inclined rib truss is connected with the square steel pipe through the connecting bolts;
the superimposed sheet processing module comprises a superimposed sheet processing controller, a die pretreatment assembly, a reinforcing steel bar and embedded part installation assembly and a concrete pouring assembly;
the mould pretreatment assembly, the steel bar and embedded part installation assembly and the concrete pouring assembly are electrically connected with the superimposed sheet processing controller;
the laminated plate processing controller is used for controlling the die pretreatment component to obtain a target die and pretreat the target die based on the laminated plate production parameters, the pretreat comprises polishing and smearing a release agent, and the die pretreatment component is also used for installing the pretreated die on a pedestal;
the superimposed sheet processing controller is used for controlling the steel bar and embedded part installation assembly to install the main steel bar and the connecting steel bar in the target die based on the production parameters of the superimposed sheet, welding long bolts on the connecting steel bar and welding inclined steel bar trusses on the connecting steel bar;
and the superimposed sheet processing controller is used for controlling the concrete pouring assembly to pour concrete into the target mould and vibrating based on the superimposed sheet production parameters.
2. The intelligent superimposed sheet prefabrication system according to claim 1, wherein the superimposed sheet processing module further comprises a point cloud acquisition assembly and an image acquisition assembly;
the point cloud acquisition component is used for acquiring point cloud data of the target mould for multiple times in the process of pouring concrete to the target mould by the concrete pouring component;
the image acquisition component is used for acquiring images of the target mould for multiple times in the process of pouring concrete to the target mould by the concrete pouring component.
3. The intelligent superimposed sheet prefabrication system according to claim 2, wherein the superimposed sheet processing controller is further configured to determine a first displacement difference of the long bolts, a first displacement difference of the diagonal trusses, a first deformation probability of the target mold, and a first slurry leakage probability of the target mold based on the point cloud data of the target mold acquired a plurality of times;
the superimposed sheet processing controller is further used for determining a second displacement difference value of the long bolt, a second displacement difference value of the diagonal truss, a second deformation possibility of the target die and a second slurry leakage possibility of the target die based on the multiple acquired images of the target die;
the superimposed sheet processing controller is further used for determining an embedded part moving risk value based on the first displacement difference value of the long bolt, the second displacement difference value of the long bolt, the first displacement difference value of the inclined rib truss and the second displacement difference value of the inclined rib truss;
the superimposed sheet processing controller is further configured to determine a damage risk value for the target mold based on the first deformation probability of the target mold, the first slurry leakage probability of the target mold, the second deformation probability of the target mold, and the second slurry leakage probability of the target mold.
4. An intelligent composite slab prefabrication system according to any of claims 1-3, wherein the parameter determining module determines the composite slab maintenance parameters based on the building demand data for the composite slab, comprising:
and determining the laminated slab curing parameters based on the size of the bottom plate and the proportion of the concrete materials through a curing parameter determination model, wherein the laminated slab curing parameters comprise a heating rate threshold value and a cooling rate threshold value of the laminated slab curing equipment and preset working parameters at a plurality of curing time points, and the working parameters at least comprise curing temperature, curing humidity and internal pressure.
5. The intelligent composite slab prefabrication system according to claim 4, wherein the composite slab curing module further comprises a device state monitoring assembly, wherein the device state monitoring assembly comprises at least a temperature monitoring device, a humidity monitoring device and a pressure monitoring device, wherein the temperature monitoring device is used for acquiring the temperature inside the composite slab curing device, the humidity monitoring device is used for acquiring the humidity inside the composite slab curing device, and the pressure monitoring device is used for acquiring the pressure inside the composite slab curing device.
6. The intelligent laminated slab prefabrication system according to claim 5, wherein the parameter determining module is further configured to adjust the preset operating parameter at a plurality of curing time points based on a temperature inside the laminated slab curing device acquired by the temperature monitoring device at a plurality of history curing time points, a humidity inside the laminated slab curing device acquired by the humidity monitoring device at a plurality of history curing time points, a pressure inside the laminated slab curing device acquired by the pressure monitoring device at a plurality of history curing time points, the temperature rising rate threshold value, and the temperature lowering rate threshold value.
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